Improved Techniques for Training GANs

Benchmark Model Rank Results
semi-supervised-image-classification-on-svhn-1000-labelsGAN#17Accuracy: 91.89
conditional-image-generation-on-cifar-10Improved GAN#20Inception score: 8.09
image-classification-on-svhnImproved GAN#36Percentage error: 8.11
semi-supervised-image-classification-on-cifar-10-4000-labelsGAN#38Percentage error: 15.59